Abstract
Canopy temperature, a surrogate for stomatal conductance, is shown to be a good indicator of plant water status and a potential tool for phenotyping and irrigation scheduling. Measurement of stomatal conductance and leaf temperature has traditionally been done by using porometers or gas exchange analyzers and fine-wire thermocouples attached to the leaves, which are labor intensive and point measurements. The advent of remote or proximal thermal sensing technologies has provided the potential for scaling up to leaves, plants, and canopies. Thermal cameras with a temperature resolution of <0.1 K now allow one to study the temperature variation within and between plants. This chapter discusses some applications of infrared thermography for assessing drought and other abiotic and biotic stress and outlines some of the main factors that need to be considered when applying this to the study of leaf or canopy temperature whether in controlled environments or in the field.
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Wilkinson S, Davies WJ (2002) ABA-based chemical signalling: the co-ordination of responses to stress in plants. Plant Cell Environ 25(2):195–210. doi:10.1046/j.0016-8025.2001.00824.x
Jones HG (2004) Irrigation scheduling: advantages and pitfalls of plant-based methods. J Exp Bot 55(407):2427–2436. doi:10.1093/jxb/erh213
Jones HG (1999) Use of infrared thermometry for estimation of stomatal conductance as a possible aid to irrigation scheduling. Agric For Meteorol 95(3):139–149. doi:10.1016/s0168-1923(99)00030-1
Jones HG, Serraj R, Loveys BR, Xiong L, Wheaton A, Price AH (2009) Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field. Funct Plant Biol 36:978–989
Prashar A, Yildiz J, McNicol JW, Bryan GJ, Jones HG (2013) Infra-red thermography for high throughput field phenotyping in Solanum tuberosum. PLoS One 8(6):e65816–65811–65819. doi:10.1371/journal.pone.0065816
Grant OM, Tronina L, Jones HG, Chaves MM (2007) Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes. J Exp Bot 58:815–825. doi:10.1093/jxb/erl153
Meron M, Tsipris J, Orlov V, Alchanatis V, Cohen Y (2010) Crop water stress mapping for site-specific irrigation by thermal imagery and artificial reference surfaces. Precis Agric 11:148–162
Amani I, Fischer RA, Reynolds MF (1996) Evaluation of canopy temperature as a screening tool for heat tolerance in spring wheat. J Agron Crop Sci 176:119–129
Lindenthal M, Steiner U, Dehne HW, Oerke EC (2005) Effect of downy mildew development on transpiration of cucumber leaves visualized by digital infrared thermography. Phytopathology 95(3):233–240
Stoll M, Schultz HR, Baecker G, Berkelmann-Loehnertz B (2008) Early pathogen detection under different water status and the assessment of spray application in vineyards through the use of thermal imagery. Precis Agric 9(6):407–417. doi:10.1007/s11119-008-9084-y
Jones HG (2004) Application of thermal imaging and infrared sensing in plant physiology and ecophysiology. In: Callow JA (ed) Advances in botanical research incorporating advances in plant pathology, vol 41. Advances in botanical research. pp 107–163
Pinter PJ, Stanghellini ME, Reginato RJ, Idso SB, Jenkins AD, Jackson RD (1979) Remote detection of biological stresses in plants with infrared thermography. Science 205(4406):585–586. doi:10.1126/science.205.4406.585
Jones HG (2014) Plants and microclimate: a quantitative approach to environmental plant physiology, 3rd edn. Cambridge University Press, Cambridge
Prashar A, Jones HG (2014) Infra-red thermography as a high-throughput tool for field phenotyping. Agronomy 4(3):397–417
Merlot S, Mustilli AC, Genty B, North H, Lefebvre V, Sotta B, Vavasseur A, Giraudat J (2002) Use of infrared thermal imaging to isolate Arabidopsis mutants defective in stomatal regulation. Plant J 30(5):601–609. doi:10.1046/j.1365-313X.2002.01322.x
Rebetzke GJ, Rattey AR, Farquhar GD, Richards RA, Condon AG (2013) Genomic regions for canopy temperature and their genetic association with stomatal conductance and grain yield in wheat. Funct Plant Biol 40(1):14–33. doi:10.1071/fp12184
Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J-Y, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A (2012) Fiji: an open-source platform for biological-image analysis. Nat Methods 9(7):676–682. doi:10.1038/nmeth.2019
Wang X, Yang W, Wheaton A, Cooley N, Moran B (2010) Automated canopy temperature estimation via infrared thermography: A first step towards automated plant water stress monitoring. Comput Electron Agric 73(1):74–83, Doi: http://dx.doi.org/10.1016/j.compag.2010.04.007
Leinonen I, Jones HG (2004) Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress. J Exp Bot 55(401):1423–1431. doi:10.1093/jxb/erh146
Jones HG, Stoll M, Santos T, de Sousa C, Chaves MM, Grant OM (2002) Use of infrared thermography for monitoring stomatal closure in the field: application to grapevine. J Exp Bot 53(378):2249–2260. doi:10.1093/jxb/erf083
Jones HG, Sirault XR (2014) Scaling of thermal images at different spatial resolution: the mixed pixel problem. Agronomy 4(3):380–396
Guiliani R, Flore JA (2000) Potential use of infra-red thermometry for the detection of water stress in apple trees. Acta Horticult 537:383–392
Jackson RD, Idso SB, Reginato RJ, Pinter PJ (1981) Canopy temperature as a crop water-stress indicator. Water Resour Res 17:1133–1138
Idso SB, Reginato RJ, Jackson RD, Pinter PJ (1981) Foliage and air temperatures - evidence for a dynamic equivalence point. Agric Meteorol 24:223–226
Jones HG (1999) Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces. Plant Cell Environ 22(9):1043–1055
Leinonen I, Grant OM, Tagliavia CPP, Chaves MM, Jones HG (2006) Estimating stomatal conductance with thermal imagery. Plant Cell Environ 29(8):1508–1518. doi:10.1111/j.1365.3040.2006.01528.x
Guilioni L, Jones HG, Leinonen I, Lhomme JP (2008) On the relationships between stomatal resistance and leaf temperatures in thermography. Agric For Meteorol 148(11):1908–1912
Jones HG, Vaughan RA (2010) Remote sensing of vegetation: principles, techniques, and applications. Oxford University Press, Oxford
Acknowledgement
We gratefully acknowledge the financial support of the Scottish Government Rural and Environmental Science and Analytical Services (RESAS) Division.
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Prashar, A., Jones, H.G. (2016). Assessing Drought Responses Using Thermal Infrared Imaging. In: Duque, P. (eds) Environmental Responses in Plants. Methods in Molecular Biology, vol 1398. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3356-3_17
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DOI: https://doi.org/10.1007/978-1-4939-3356-3_17
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